2024-2025
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Driving sustainable urban futures: a Romanian - Norwegian innovation geophysical alliance for green transition and smart city development. (Innovation Norway grant 2024-2025)
2023-2024
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Pre-stack implementation of the AI-based seismic inversion algorithm with artificial constraints. (#341352. The Research Council of Norway. Grant. Innovation Project for the Industrial Sector 2022.)
2022
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Production code for pre-stack Rune Inversion
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Pilot version ML fluid prediction online platform - ready for evaluation QUICKi
2021
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Cloud solutions AI + ML user application for Lithology and Fluid prediction
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Non-stretched Stacking
2020
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Machine learning solutions for fluid prediction, extension of AI Rune inversion (Innovation Norway grant 2020)
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Full Waveform Migration, user browser application (based on the Delphi source code)
2019
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Enhancement Salt structures - Seismic processing
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Artificial Intelligence - Rock properties prediction from Seismic traces
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Cost efficient subsurface estimation for geology and geohazard for Wind Miles.
2018
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Burial Depths North Sea and Norwegian Sea
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Seismic Q-factor section estimation, for fluid accommodation prediction (in collaboration with IPGG SB RAN)
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High Resolution Velocity construction technique based on Dynamic Auto Correlation, Dynamic Time Warping and Amplitude Based Methods for Quantitative Analysis (in collaboration with First Geo AS)
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Fault and Sealing analysis of seismic data using Prony Frequency Filtering method (internal)
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Physical justifications of Negative Poisson’s coefficients for rocks (in collaboration with IPGG SB RAN)
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Deghosting module plug-in for any domain-configuration (internal)
2014
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Deghosting pre-stack different domains
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3D CRS based on WTI 2D solution
2013
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Deghosting pre-stack different domains
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3D CRS based on WTI 2D solution
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Deghosting post-stack
2011
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Beam migration solution
2005
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Kirchhoff time-migration
We are open for collaboration with service and oil&gas companies.
Please submit your letter of interest to Vita Kalashnikova, vita@pss-geo.com